亚马逊Senior Data Engineer, Amazon Global Selling - AIT
任职要求
基本任职资格 - 5+ years of data engineering experience - Experience with data modeling, warehousing and building ETL pipelines - Experience with SQL - Experience in at least one modern scripting or programming language, such as Python, Java, Scala, or NodeJS - Experience mentoring team members on best practices 优先任职资格 - Experience with big data technologies such as: Hadoop, Hive, Spark, EMR - Experience operating large data warehouses Our incl…
工作职责
• Design and implement end-to-end data pipelines (ETL) to ensure efficient data collection, cleansing, transformation, and storage, supporting both real-time and offline analytics needs. • Develop automated data monitoring tools and interactive dashboards to enhance business teams’ insights into core metrics (e.g., user behavior, AI model performance). • Collaborate with cross-functional teams (e.g., Product, Operations, Tech) to align data logic, integrate multi-source data (e.g., user behavior, transaction logs, AI outputs), and build a unified data layer. • Establish data standardization and governance policies to ensure consistency, accuracy, and compliance. • Provide structured data inputs for AI model training and inference (e.g., LLM applications, recommendation systems), optimizing feature engineering workflows. • Explore innovative AI-data integration use cases (e.g., embedding AI-generated insights into BI tools). • Provide technical guidance and best practice on data architecture that meets both traditional reporting purpose and modern AI Agent requirements.
AI Agent Engineering • Design, develop, and deploy production-grade AI agent systems, including multi-agent orchestration, tool-use frameworks, memory management, and API integration — ensuring reliability, scalability, and maintainability • Build and optimize Retrieval-Augmented Generation (RAG) pipelines: document ingestion, chunking strategy, embedding, vector search, and re-ranking to maximize LLM grounding quality • Support LLM adaptation to WWGS business domains through prompt engineering, context injection, fine-tuning signal curation, and systematic prompt evaluation frameworks • Develop automated knowledge base construction and real-time data access capabilities (Data Agent, MCP server/client) to connect AI agents with live business data • Design and implement LLM evaluation pipelines to systematically assess agent output quality, hallucination risk, and business impact Data Engineering • Design and implement end-to-end data pipelines (batch and streaming) for data collection, transformation, and storage — supporting both AI application and analytics use cases • Build and maintain integration layer data models that serve as a unified, AI-ready data foundation across WWGS domains • Develop automated data quality monitoring, alerting, and observability tooling to ensure pipeline reliability and data trustworthiness • Integrate multi-source data (seller behavior, transaction logs, off-platform signals, AI outputs) into a coherent, governed data layer • Establish data standardization and governance policies ensuring consistency, accuracy, and compliance across AI and BI consumption layers Technical Leadership • Provide technical guidance on AI-data architecture decisions; define best practices for the team's AI agent and data engineering stack • Collaborate cross-functionally with Product, Operations, and Science teams to translate business requirements into scalable technical solutions • Mentor junior engineers and conduct design reviews; raise the technical bar across the team
• Collaborate with BIE,DE, PM, CSM to research, design, develop, and evaluate generative AI solutions to address Global Selling challenges. • Interact with stakeholders directly to understand their business problems, aid them in implementation of generative AI solutions, brief stkaholders and guide them on adoption patterns and paths to production • Create and deliver best practice recommendations, tutorials, blog posts, sample code, and presentations adapted to technical, business, and executive stakeholder
Amazon Global Selling is a key initiative to achieve our vision to offer customers Earth’s largest selection. We provide businesses the opportunity to sell their goods on the Amazon platform worldwide. Each year, tens of thousands of businesses join our Marketplace adding millions of new products. Amazon's Asia Global Selling Existing Seller Management (ESM) team currently seeks a results oriented Process Engineer who can learn quickly and build trust with various stakeholders in a dynamically changing environment. In this role, s/he will be a key member of the Asia Global Selling ESM Team, helping ESM translate business needs & requirement into product solutions, innovate existing process/way of working and leveraging AI/automation solutions to improve efficiency, including developing innovative tools, mapping out new business workflow, develop end-to-end process & tech roadmap, and propose the ending picture of how each business workstream would be, as well as optimizing existing work process and develop tools & mechanisms to improve Account Management efficiency. The ideal candidate will have demonstrated Workflow & Business Process innovation experience and specifically the ability to shape work for themselves and supporting other team mates. The position requires strong communication skills and the ability to build and maintain strong working relationships with numerous stakeholders within the organization. S/he also has a track record of program management, leading business initiatives, building SOP/tools, and turning data into insights.
Amazon Global Selling is a key initiative to achieve our vision to offer customers Earth’s largest selection. We provide businesses the opportunity to sell their goods on the Amazon platform worldwide. Each year, tens of thousands of businesses join our Marketplace adding millions of new products. Amazon's Asia Global Selling Existing Seller Management (ESM) team currently seeks a results oriented Process Engineer who can learn quickly and build trust with various stakeholders in a dynamically changing environment. In this role, s/he will be a key member of the Asia Global Selling ESM Team, helping ESM translate business needs & requirement into product solutions, innovate existing process/way of working and leveraging AI/automation solutions to improve efficiency, including developing innovative tools, mapping out new business workflow, develop end-to-end process & tech roadmap, and propose the ending picture of how each business workstream would be, as well as optimizing existing work process and develop tools & mechanisms to improve Account Management efficiency. The ideal candidate will have demonstrated Workflow & Business Process innovation experience and specifically the ability to shape work for themselves and supporting other team mates. The position requires strong communication skills and the ability to build and maintain strong working relationships with numerous stakeholders within the organization. S/he also has a track record of program management, leading business initiatives, building SOP/tools, and turning data into insights.